Evidence map›Paper›PMID 28825705›Full record

ArticleNature methods2017

Reversed graph embedding resolves complex single-cell trajectories.

Xiaojie Qiu, Qi Mao, Ying Tang, Li Wang, Raghav Chawla, Hannah A Pliner, Cole Trapnell

Abstract read
In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3,101 papers.

0numbers the graph read from it
0cells of the map it votes in
3,101citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3,101 citing papers in PubMed.

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  13. scCADI: Cell-Aware Diffusion Model for Single-Cell RNA-seq Imputation.Interdisciplinary sciences, computational life sciences · 2026
    Article
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  15. Review
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3,041 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaojie QiuMolecular and Cellular Biology Program, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-7881-5395
Qi MaoHERE Company, Chicago, Illinois, USA.
Ying TangDepartment of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China.
Li WangDepartment of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, Chicago, USA.
Raghav ChawlaDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Hannah A PlinerDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Cole TrapnellMolecular and Cellular Biology Program, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-8105-4347

Funding

THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2M
University of Washington Center for Nuclear Organization and FunctionU54DK107979 · NIDDK · UNIVERSITY OF WASHINGTON · PI NOBLE, WILLIAM STAFFORD, SHENDURE, JAY ASHOK · 2015 to 2019
$11.8M
Charting the regulatory topography of the cell differentiation landscape with single-cell RNA-Seq.DP2HD088158 · NICHD · UNIVERSITY OF WASHINGTON · PI TRAPNELL, BRUCE COLSTON · 2015 to 2015
$2.3M
NIA NIH HHS P50 AG005136NICHD NIH HHS DP2 HD088158NIDDK NIH HHS U54 DK107979
6 · The paper itself

Abstract

Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However, learning the structure of complex trajectories with multiple branches remains a challenging computational problem. We present Monocle 2, an algorithm that uses reversed graph embedding to describe multiple fate decisions in a fully unsupervised manner. We applied Monocle 2 to two studies of blood development and found that mutations in the genes encoding key lineage transcription factors divert cells to alternative fates.

Indexed as

AlgorithmsComputer SimulationModels, BiologicalAnimalsCell DifferentiationGene Expression Regulation, DevelopmentalMutationTranscription FactorsTranscriptomeTranscription Factors

Identifiers

PMID28825705
PMCPMC5764547

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.